class_docstr: Flavor backend implementation for the generic R models.
  Predict and serve locally models with 'crate' flavor.
class_docstr_tok: ["Flavor","backend","implementation","for","the","generic","R","models",".","Predict","and","serve","locally","models","with","'crate","'","flavor","."]
code: def generate_dockerfile(
      self,
      model_uri,
      output_path,
      install_mlflow,
      mlflow_home,
      enable_mlserver,
  ):
      pass
  
file_path: mlflow/mlflow/rfunc/backend.py
imports: import logging
  import os
  import re
  import subprocess
  import sys
  from mlflow.exceptions import MlflowException
  from mlflow.models import FlavorBackend
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.string_utils import quote
label_desc: Use image node_id 2 for calling the RFuncBackend obj's underlying member method code with example usage: obj.generate_dockerfile(model_uri, output_path, install_mlflow, mlflow_home, enable_mlserver) without return types